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한글 글꼴 유사성 판단을 위한 획 요소 속성의 영향력 분석

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dc.contributor.author박동연-
dc.contributor.author전자연-
dc.contributor.author임서영-
dc.contributor.author임순범-
dc.date.available2021-02-22T04:56:41Z-
dc.date.issued2020-12-
dc.identifier.issn1229-7771-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/892-
dc.description.abstractAs various styles of fonts were used, there were problems such as output errors due to uninstalled fonts and difficulty in font recognition. To solve these problems, research on font recognition and recommendation were actively conducted. However, Hangul font research remains at the basic level. Therefore, in order to automate the comparison on Hangul font similarity in the future, we analyze the influence of each stroke element property. First, we select seven representative properties based on Hangul stroke shape elements. Second, we design a calculation model to compare similarity between fonts. Third, we analyze the effect of each stroke element through the cosine similarity between the user's evaluation and the results of the model. As a result, there was no significant difference in the individual effect of each representative property. Also, the more accurate similarity comparison was possible when many representative properties were used-
dc.format.extent13-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국멀티미디어학회-
dc.title한글 글꼴 유사성 판단을 위한 획 요소 속성의 영향력 분석-
dc.title.alternativeA Study on Influence of Stroke Element Properties to find Hangul Typeface Similari-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.9717/kmms.2020.23.12.1552-
dc.identifier.bibliographicCitation멀티미디어학회논문지, v.23, no.12, pp 1552 - 1564-
dc.citation.title멀티미디어학회논문지-
dc.citation.volume23-
dc.citation.number12-
dc.citation.startPage1552-
dc.citation.endPage1564-
dc.identifier.kciidART002661722-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorCharacteristics Properties of Hangul Shape-
dc.subject.keywordAuthorHangul Font Similarity-
dc.subject.keywordAuthorFont Similarity Calculation Model-
dc.subject.keywordAuthorStroke Element Property-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10507612-
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